Filters: Tags: Andes mountains (X)
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Planning for the social impacts of mine closure is essential to an effective closure process, especially in developing countries where impoverishment can lead to a high level of mine dependency. This article presents the initial results of a study that seeks to monitor and improve social wellbeing and sustainability through mine closure. The research responds to an initiative by a network of community environmental organisations in the Peruvian Andes interested in improving the sustainability of the social outcomes of mines in their communities. The research adapted value-focused decision analysis (R. Keeney, Value Focused Thinking: A Path to Creative Decision-Making, University Press, Harvard, 1992), a methodology...
Categories: Publication;
Types: Citation;
Tags: Andes Mountains,
Improving,
mines,
socio-environmental
This data was used in the analysis for the article “Burn Severity Controls on Post-fire Araucaria-Nothofagus Regeneration in the Andean Cordillera” by T. Assal, M. Gonzalez and J. Sibold. The aim of the study was to investigate post-fire regeneration patterns of forests on the west slope of the Andes; to evaluate the relationship between remotely sensed burn severity and forest mortality; and to assess controls of burn severity on forest response at local spatio-temporal scales. This dataset reflects plot level data that was collected in the field and during the subsequent analysis.
Categories: Data;
Tags: Andes Mountains,
Burn severity model,
Chile,
Tolhuaca National Park,
Tolhuaca National Park,
This data was used in the analysis for the article “Burn Severity Controls on Post-fire Araucaria-Nothofagus Regeneration in the Andean Cordillera” by T. Assal, M. Gonzalez and J. Sibold. The aim of the study was to investigate post-fire regeneration patterns of forests on the west slope of the Andes; to evaluate the relationship between remotely sensed burn severity and forest mortality; and to assess controls of burn severity on forest response at local spatio-temporal scales. This dataset reflects the burn severity calculated from Landsat data as part of the analysis.
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